This week’s topics
Final assessment and submission
- Final coursework submission
- Assessment against all criteria
What you will be able to do
- 1.1 Define artificial intelligence and describe the different approaches to learning.
- 1.2 Describe a range of simple and complex machine learning strategies.
- 1.3 Explain the difference between supervised, unsupervised, and reinforcement learning.
- 1.4 Analyse the significance of the bias-variance trade-off in machine learning.
- 2.1 Describe how backpropagation is used to update neural network parameters to achieve a desired goal.
- 2.2 Explain the bias-variance trade-off in machine learning.
- 2.3 Explain the importance of loss functions in providing an objective for the training of neural networks.
- 2.4 Analyse and compare common optimisation strategies for neural network training.
- 2.5 Evaluate the advantages and disadvantages of deep and shallow neural network architectures.
- 3.1 Describe a range of neural network layer architectures and their use cases.
- 3.2 Use popular neural network libraries to implement neural network architectures.
- 3.3 Implement training strategies to fit model parameters.
- 3.4 Evaluate the performance of trained neural network models with reference to the training-test gap.
- 4.1 Describe a range of generative model architectures.
- 4.2 Compare deep generative modelling approaches along several dimensions.
- 4.3 Explain the method of contrastive language-image pretraining and its importance in learning mappings to meaningful representations for images and text.
- 4.4 Analyse the principal training methods of large language models.
- 4.5 Evaluate the importance of the transformer architecture in the success of large language models.
- 5.1 Identify scenarios in which artificial intelligence can be applied as a preventative security measure.
- 5.2 Explain the ways in which AI can be used to enhance existing cyber-attacks and provide new opportunities for attackers.
- 5.3 Evaluate the benefits provided and risks posed by AI in the field of security.
Activity
Final assessment week: submission of the unit assignment.
Study materials
The teaching notes, exercises and videos of this week are in the student portal. Your portal is set up as soon as you receive final acceptance, so you can open them before the semester starts.
